First, forgive me for mis-spelling Satterthwaite in my previous post.
On Wed, 28 Feb 2001, Rich Ulrich wrote:
> I don't have access to Casella & Berger, but I am curious about what
> they recommend or suggest. Compare means with Student's t-test or
> logistic regression; or Satterthwaite t if you can't avoid it if both
> means and variances are different enough, and you wouldn't rather do
> some transformation (for example, to ranks: then test Ranks). And
> there's randomization and bootstrap. Anything else?
Casella & Berger basically say that unknown, unequal variance is a hard
problem but Satterthwaite is a good approximation. They call this
the Behrens-Fisher problem and give references (e.g, Kendall & Stewart).
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